Reactive Machines

As data privacy concerns in machine learning grow, the ability to unread—or remove—certain data points from trained models becomes even…

Visual language models (VLMs) can follow complex text instructions, yet they struggle to reason with only visuals. In particular, current…

Knowledge bases that ground agents and generative AI applications over your enterprise data are hard to build at scale. Teams…

This post is co-written with Eric Jiang from xAI (SpaceXAI). xAI’s Grok 4.3 is now generally available on Amazon Bedrock,…

Restaurants miss an average of 150 phone calls per location every month, and about 60 percent of those are customers…

We learn about two efficient sub-linear proximity proofs (dsIPPs): proofs that are very fast to generate, and can be used…

Incremental video search requires a higher ranking after each keystroke, where the intent is often not well-defined (eg, 1–3 letter…

Can a large-scale linguistic model (LLM) improve on code generation using only its raw outputs, without verifier, teacher model, or…

Document processing in real estate is complex and highly manual, impacting critical business decisions at scale, making it ripe for…

Generative generative models (eg, distribution models) typically operate on compressed latent spaces to measure training efficiency and sample quality. Correspondingly,…